bert-base-th-cased-intent-booking

README.md

@@ -1,7 +1,7 @@
 ---
 library_name: transformers
 license: apache-2.0
-base_model: google-bert/bert-base-multilingual-cased
+base_model: Geotrend/bert-base-th-cased
 tags:
 - generated_from_trainer
 metrics:
@@ -10,22 +10,22 @@ metrics:
 - precision
 - recall
 model-index:
-- name: bert-base-multilingual-cased-intent-booking
+- name: bert-base-th-cased-intent-booking
   results: []
 ---
 
 <!-- This model card has been generated automatically according to the information the Trainer had access to. You
 should probably proofread and complete it, then remove this comment. -->
 
-# bert-base-multilingual-cased-intent-booking
+# bert-base-th-cased-intent-booking
 
-This model is a fine-tuned version of [google-bert/bert-base-multilingual-cased](https://huggingface.co/google-bert/bert-base-multilingual-cased) on an unknown dataset.
+This model is a fine-tuned version of [Geotrend/bert-base-th-cased](https://huggingface.co/Geotrend/bert-base-th-cased) on an unknown dataset.
 It achieves the following results on the evaluation set:
-- Loss: 0.3045
-- Accuracy: 0.9189
-- F1: 0.9155
+- Loss: 0.2707
+- Accuracy: 0.9234
+- F1: 0.9209
 - Precision: 0.9322
-- Recall: 0.9189
+- Recall: 0.9234
 
 ## Model description
 
@@ -57,9 +57,9 @@ The following hyperparameters were used during training:
 
 | Training Loss | Epoch | Step | Validation Loss | Accuracy | F1     | Precision | Recall |
 |:-------------:|:-----:|:----:|:---------------:|:--------:|:------:|:---------:|:------:|
-| 2.246         | 1.0   | 65   | 1.7430          | 0.4730   | 0.3680 | 0.3529    | 0.4730 |
-| 0.972         | 2.0   | 130  | 0.3620          | 0.9369   | 0.9371 | 0.9417    | 0.9369 |
-| 0.3069        | 3.0   | 195  | 0.2379          | 0.9414   | 0.9412 | 0.9490    | 0.9414 |
+| 1.8845        | 1.0   | 65   | 0.6954          | 0.9144   | 0.9139 | 0.9169    | 0.9144 |
+| 0.446         | 2.0   | 130  | 0.2283          | 0.9279   | 0.9289 | 0.9327    | 0.9279 |
+| 0.1807        | 3.0   | 195  | 0.2037          | 0.9505   | 0.9506 | 0.9568    | 0.9505 |
 
 
 ### Framework versions